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Loop Engineering Explained: How to Design AI Agents That Run Themselves
I had a multi-agent system that could handle complex store operations. It worked — when I was there to prompt it. Every morning I’d open a terminal, type the task, review the output, feed corrections back in, and repeat until the result was good enough. I was the loop. Then I went on vacation. The system sat idle for a…
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Building Multi-Agent AI Systems: Patterns for Delegation and Collaboration
I had a single agent that handled store operations questions. It worked well — until it didn’t. A store manager asked: “Check which products are expiring this week, find alternatives from our supplier catalog, and draft a reorder suggestion for my regional manager.” The agent tried. It called the expiry tool, got 23 products, attempted to search the supplier…
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LLM Function Calling Explained: How to Connect AI to Your Real APIs
I had a chatbot that could answer questions about our product catalog. It was helpful — until someone asked “what’s the current stock for yoghurt in store 1234?” The model confidently hallucinated a number. It had no way to check. It just guessed. The fix wasn’t a better prompt. It was giving the model the ability to call my…